Greg Rothman Email and Phone Number
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Greg Rothman personal email
Professional with comprehensive experience as data scientist using advanced analytics, big data, machine learning, and mobile advertising. Proven success in providing adaptive solutions and delivering actionable insights to translate complex business problems into data-driven solutions that impact the most strategic business decisions. Strong ability to navigate structured and unstructured data, translate highly technical information to non-technical audiences, address the needs of all stakeholders, and align technical solutions with overall business objectives. Strategic contributor with a tireless work ethic and passion for innovating new products. Drives high-value, executable knowledge, pushes big data boundaries into new and exciting areas, and applies machine learning concepts in novel ways, across industries, and in different disciplines. Creative, analytical thinker who partners across functional areas to identify/analyze requirements and architect products involving countless diverse variables and high-volume implementation scenarios. SELECTED CAREER CONTRIBUTIONS:• In four months built mobile device visitation algorithm to estimate foot traffic for restaurant, retail and entertainment businesses. The problem had been unsolved for two years. The model was validated by estimating quarterly amusement park attendance within 4 percent of actual foot traffic. • Enabled more than $100 million in transportation savings for U.S. and international shipping companies by developing/implementing a waterway cost optimization model for the San Francisco district of the Corps of Engineers that was benchmarked and utilized by other ports.• Employed machine learning to develop a clustering algorithm to model and classify more than 60K genomic data/factors in predicting and diagnosing schizophrenic and bipolar disease.
Cisco Meraki
View- Website:
- meraki.cisco.com
- Employees:
- 3109
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Lead Machine Learning EngineerCisco MerakiSan Carlos, Ca, Us
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Machine Learning ArchitectAngler Ai May 2023 - PresentSanta Monica, Ca, Us▪ Architect and develop end to end advertising conversion model system for e-commerce merchants on Shopify platform. The workflow runs hundreds of Machine Learning models in parallel, utilizing Spark and Sagemaker to deliver high performing audiences on platforms such as Meta and Tik Tok with inference performed in 30 minute time frames.▪ Build, develop, and maintain real-time Identity Resolution Service and Graph. The service identifies anonymous ecommerce visitors that are not logged in to registered users through a matching system using IP-Address, User-Agent, and available PII.▪ Build, develop, and maintain Deep Learning Recommender System for E-Commerce brands. The System is deployed across digital entertainment, education, and retail businesses. -
Machine Learning ArchitectKinesso Jul 2021 - May 2023New York, Ny, Us▪Architect, build and deploy Identity Graph. The Graph is a multi-layered Machine Learning and Network Analysis System for digital and offline advertising. The System connects probabilistic links from hundreds of billions of disparate address, email, phone, demographic, and digital device records to form unique global consumers.▪Build and maintain multi-terabyte processing pipelines in Spark and Airflow.▪Utilize automated CI/CD for build, deployment, and monitoring.▪Build, maintain, and deploy IP Household Graph for CTV. -
Senior Machine Learning EngineerCadent Feb 2018 - Jul 2021New York, Ny, Us▪Design, build, deploy, and monitor multi-cloud Machine Learning Pipelines in AWS and GCP to identify age, gender, income, and political affiliation of U.S households through digital device usage for connected TV and mobile ad targeting. The framework utilizes Scala Spark for data processing, Tensorflow for Machine Learning, and Airflow for orchestration. ▪Build, maintain, and optimize complex data pipelines in Spark and Airflow for data Warehousing in BigQuery on GCP.▪Mentor junior team members on technical aspects of Machine Learning and Data Engineering. -
Senior Data ScientistNinthdecimal Jul 2017 - Jan 2018San Francisco, California, Us▪ Build and maintain mobile advertising measurement model. The model identifies ad-lift across multiple channels including TV, mobile, and desktop. ▪ Build binary classifier in Spark for mobile advertising campaigns in the retail, dining, entertainment, and leisure businesses. The model matches control and exposed mobile devices based on the probability to visit specified geographic locations over a fixed time window.▪Utilize Lasso Regression along with NLP to normalize data metrics across NinthDecimal’s product line. -
Senior Data ScientistState Farm Sep 2016 - Jul 2017Bloomington, Illinois, Us▪Utilize LSTM framework to detect time based anomalous patterns in water usage in residential and commercial property for IOT app. The model was built on sound files that were collected by on-site sensors.▪Analyze and transform raw sensor data with Fourier Transformation for ingestion into Anomaly detection model. ▪Utilize Random Forest, Gradient Boosting, and Discrete Markov Chain to rank 43,000 U.S. zip codes to identify the optimal location to place a new State Farm agent. The model is built in pyspark on a multiple terabyte data set that includes geo-location, underwriting, claims, and policy- holder profile data. The model correctly predicts the location of over 90% of all failed agents. ▪Build retention targeting model. The algorithm uses Machine Learning, State Farm proprietary data, and third party vendor data to build audience segments for marketing campaigns that identify insurance customers most likely to renew their State Farm policy -
Data ScientistNinthdecimal May 2015 - Sep 2016San Francisco, California, Us▪Utilizing GPS and WiFi location data, design, write, and deploy new and innovative mobile device visitation algorithm to estimate foot traffic for restaurant, retail and entertainment businesses. The algorithm was proto-typed in R and Python and a scaled version was built in Spark. The visit estimates are fit to a gamma distribution while measured against actual foot traffic or sales data. The model is currently used by Wall Street Hedge Funds for equity trading and to measure response to mobile advertising campaigns for major retailers and restaurant chains.▪Assign over 120 million mobile devices to a unique home address by employing Boosting and Random Forest machine learning models in Spark. The model is built from multiple terabyte datasets comprised of geo-location, time, connection, and carrier data. ▪Utilizing Hadoop and employing Spark and Python machine learning models such as Logistic Regression and Kmeans to cluster over 400 application categories over time and location to optimize advertising partnerships.
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Budget AnalystUs Army Corps Of Engineers Oct 2006 - Aug 2012Washington, Dc, Us▪ Developed, managed, and forecasted annual budget for dozens of federal civil works projects being executed in the district of San Francisco.▪ Defined and implemented standardized congressional reporting procedures to streamline ways in which projects were evaluated and measured for performance; provided senior officials with clarity/insight into future multimillion-dollar budgets and enabled organizations to develop accurate budget requests for following year based on precise project analyses.▪ Authored official project financial summary documents that were submitted for congressional review. -
Regional EconomistUs Army Corps Of Engineers Jun 2002 - Oct 2006Washington, Dc, Us▪ Developed and implemented an innovative and precise waterway cost optimization model that identified $100+ million dollars in transportation savings for global shipping companies; model was adopted and utilized at other ports.▪ Used iterative model to accurately calculate savings based on multiple water depths, projected demand, currency exchange rates, and anticipated shipping volume.▪ Led monthly economic meetings with private/public organizations to brief them on project status and explain project methodologies and outcomes, including municipalities, government agencies, and corporate stakeholders required to contribute to the cost of the project, estimated to be $300 million to $400 million over 10 years.
Greg Rothman Skills
Greg Rothman Education Details
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San Francisco State UniversityMathematics -
San Francisco State UniversityEconomics
Frequently Asked Questions about Greg Rothman
What company does Greg Rothman work for?
Greg Rothman works for Cisco Meraki
What is Greg Rothman's role at the current company?
Greg Rothman's current role is Lead Machine Learning Engineer.
What is Greg Rothman's email address?
Greg Rothman's email address is gr****@****nfo.com
What schools did Greg Rothman attend?
Greg Rothman attended San Francisco State University, San Francisco State University.
What skills is Greg Rothman known for?
Greg Rothman has skills like Data Analysis, Data Mining, Machine Learning, Big Data, Sql, Python, Data Modeling, Mobile Technology, Applied Statistics, Mobile Marketing, Data Visualization, R.
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